AI in Business: Regulatory Framework and Practical Readiness

Developing the knowledge and skills needed to make informed decisions regarding the use of AI within a company, while ensuring its safe, responsible and compliant governance.

• Company executives and managers.
• Legal professionals.
• Compliance, risk management, data protection, IT, HR, marketing and communications specialists.
• Anyone who wants to implement or is already actively using various AI solutions within a company.

• Identify where and how AI is being used within a company.
• Assess the obligations that arise for a company in connection with the use of AI.
• Distinguish between prohibited, high-risk and other AI uses regulated under the EU AI Act.
• Identify the key legal, operational and reputational risks associated with the use of AI.
• Define the key steps a company should take to ensure safe, responsible and EU AI Act-compliant AI governance.

There are no specific prerequisites.

Training materials, practical work examples, along with case studies prepared by the course instructor. During this training you will work with EU AI Act, guidance from the European Commission and relevant Latvian authorities, as well as other methodological materials.

Not intended.

1. AI in the Company – Where Is It Already Being Used?

• What is AI under the EU AI Act?
• Common AI solutions used by companies.
• Generative AI, automation and algorithmic decision-making.
• Opportunities and risks associated with AI.

2. The EU AI Act – What Does It Mean for Your Company?

• The purpose and scope of the AI Act.
• The roles and obligations of companies.
• Prohibited, high-risk and AI systems subject to transparency requirements.
• Implementation timeline and key requirements.

3. AI Governance in the Company

• AI literacy.
• Allocation of responsibilities within the organization.
• Human oversight.
• Risk management.
• Supplier assessment.
• Internal policies and procedures.

4. Practical Application

• Assessing the use of AI within a company.
• Practical examples from different industries.
• Common mistakes.
• Recommendations for the company’s next step.